Data Intensive Mobile Sensor Networks (DIMSNs) introduce a promising but still under-utilized technology. Meanwhile, there is a growing confidence that certain applications (Killer Apps) have a potential to create a sustained market for this technology. For example, a large team of cooperative mobile robots can be considered as a wireless sensornet composed of a number of mobile nodes most of w...

Nowadays, novel computing paradigms as for example Cloud Computing are gaining more and more on importance. In case of Cloud Computing users pay for the usage of the computing power provided as a service. Beforehand they can negotiate specific functional and non-functional requirements relevant for the application execution. However, providing computing power as a service bears different resear...

the purpose of this study is to identify challenges of digital resources in academic libraries of kerman province. research methodology is descriptive- survey, a questionnaire is used for gathering data. research sample includes 41 librarians of kerman libraries and their managers. results show that economic challenges, in order, are:  infrastructures and equipment purchasing, printed and digit...

The aim of this chapter is the presentation of studies and research results concerning environmental monitoring techniques promoted by Lepida SpA across a wide area, the Italian Emilia-Romagna Region. Lepida SpA Lepida SpA (2011) is an in house providing company established by a Regional Law (11/2004, “Regional Development of the Information Society”) of Emilia-Romagna region, which consolidate...

Cloud computing is a model that allows resources to be offered as services over the Internet. Due to dynamic and virtualized nature of cloud environments and diversity of client requests, providing the expected service quality while avoiding over-provisioning is not a simple task. To ensure that the provisioned service is acceptable, providers must exploit techniques and mechanisms that guarant...

Systems providing comprehensive software infrastructures and tools for acquisition, storage and visualization of data produced by distributed sensors begun to appear in the last few years. To face the issues and challenges related with the realization of such infrastructures, we started Desthino, a project that aims at providing an easy-to-use framework for collecting, storing, managing and vis...

The advancements in distributed computing have driven the emergence of service-based infrastructures that allow for on-demand provision of ICT assets. Taking into consideration the complexity of distributed environments, significant challenges exist in providing and managing the offered on-demand resources with the required level of Quality of Service (QoS), especially for real-time interactive...

Geospatial technologies have evolved to offer users the functionality of data access and to model development to generate information. Nowadays Spatial Data Infrastructures represent the SOA paradigm in geospatial terms offering a set of interoperable distributed components to access, visualize and process data forming the Geospatial Web. Fostered by the European directive INSPIRE many public a...

Data-centric approaches play an increasing role in many scientific domains, but in turn rely increasingly heavily on advanced research support environments for coordinating research activities, providing access to research data, and choreographing complex experiments. Critical time constraints can be seen in several application scenarios e.g., event detection for disaster early warning, runtime...